Applied Scientist; Economics) Intern

The forecasting and business economics group at Zillow shapes planning and drives decision making across Zillow’s businesses. Embedded in the finance organization, our team prioritizes research projects that directly impact the company’s bottom line and growth. We bring together forecasters, economists, applied scientists, data scientists, and data visualization engineers to build forecasts and craft research that elevates how our businesses operate.

We transform our industry-leading data with our expertise in statistics and economics into actionable insights that inform decisions at every level of the company. Our work combines state of the art quantitative methods across forecasting, data science, and causal inference to help answer practical questions for our business leaders.

At Zillow, interns do meaningful work that contributes to the business from day one. Our 9 week summer internship program, running June 14th through August 13th, gives students the opportunity to bring their ideas and perspectives to real projects alongside Zillow teams. Interns build hands‑on experience, connect with mentors and leaders, and take part in learning and community experiences with their intern cohort.

Our 2027 internships are based in Seattle and follow a hybrid schedule, with interns generally working together in person Tuesday through Thursday. Eligible interns will receive a stipend to help offset summer housing and relocation costs. We’re looking for students who are analytical and detail‑oriented with the ability to create structure from ambiguity. You have an intense curiosity to learn and can do so in a fast‑paced dynamic environment.

If you are not afraid of working with large amounts of data, you’ll get the chance to make it all come together into meaningful metrics used to make strategic business decisions.

During your internship, you will have opportunities to:

• Partner with your manager and stakeholders to translate open‑ended business questions into an analytical approach, with clear deliverables that will directly translate to tangible benefits to revenue.
• Explore, clean, and validate housing, economic, business, or financial data; document assumptions and identify data-quality issues.
• Build and compare models to support prediction and forecasting.
• Transform observational data into causal models using clever identification.
• Design experiments to improve how we price and operate across our different businesses.
• Evaluate models using appropriate baselines and time‑based validation, and communicate uncertainty, limitations, and trade‑offs.
• Investigate trends, forecast errors, and drivers of business performance to develop actionable insights.
• Create reproducible analyses, visualizations, or reporting workflows that help partners understand and use your findings.
• Share your approach, results, and recommendations with technical and nontechnical audiences, and document your work for a clear handoff.

For each city that falls under the standard pay range, the salary for this role is $ - $ annually.

Actual amounts will vary depending on experience, performance and location.

Eligible interns will receive a stipend to help offset summer housing and relocation costs.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $ - $ annually.

This base pay range is…